C2C AI Engineer Naperville, IL; Onsite Position

Role

AI ENGINEER

Naperville, IL (Onsite position) Locals only

6+ Months

• Build RAG‑based chatbots over S3‑hosted knowledge: ingestion, parsing, chunking, metadata enrichment, embeddings, indexing, retrieval, reranking, and citation‑grounded responses.
• Implement Amazon Bedrock model integration and Bedrock Guardrails (PII handling, content safety, prompt‑injection defenses, topic restrictions, safe completion).
• Develop agentic capabilities using Bedrock Agents / Agent Core and Lambda tools: allow listed tool calling, schema validation, approvals, audit logging, and safe execution patterns.
• Engineer AWS‑native pipelines for KB updates and automation using S3 eventing, orchestration, and resilient processing (retries, DLQs, idempotency).
• Design and maintain LLM evaluations and quality gates: golden datasets, regression testing in CI/CD, grounded Nexus/citation checks, retrieval quality metrics, latency/cost reporting.
• Implement production‑grade observability and operations:
  Cloud Watch dashboards/alarms, structured logging/tracing, incident readiness, and cost governance.

• Strong Python engineering background with production experience in cloud‑native services.
• Extensive hands‑on experience with AWS services:
  • Amazon Bedrock (FMs + embeddings) and Bedrock Guardrails
  • AWS Lambda, Cloud Watch, DynamoDB (schema and access patterns)
  • S3 (bucket architecture, automation, event‑driven ingestion)
  • Amazon Kendra (enterprise search / hybrid retrieval patterns)
  • AWS Agent Core / Bedrock Agents (agent orchestration and tool use)
• Proven expertise in:
  • LLMs (prompting patterns, context management, hallucination mitigation)
  • RAG (chunking, metadata, hybrid retrieval, reranking, citations)
  • Data engineering on AWS (pipelines, quality checks, lineage, versioning)
  • Database schema awareness and designing data access patterns for scalable retrieval
  • Production delivery skills: API Gateway, Step Functions, Event Bridge, SQS/SNS
  • Open Search / vector database patterns (as applicable)
  • IAM least privilege, KMS, Secrets Manager/SSM, Cloud Trail
  • CI/CD and IaC (Terraform/Cloud Formation/CDK)
  • Reliability patterns (rate limiting, caching, retries, circuit breakers, DR awareness)
• AI certification required (AWS ML Specialty or equivalent recognized AI/ML certification) and strong depth across AWS services.